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Batch Processing vs Stream Processing

Level Up Coding

When we encounter systems with large amounts of data, there are 2 main ways we can crunch that data to transform it into something useful for our organisation. One of those approaches is batch…

Real Time Data Pipeline — More Than We Expected

Analytics Vidhya

When we were considering migrating our data delivery pipeline from batches of hourly files into a real time streaming system, the reasons we had in mind were the obvious ones; to reduce the latency…

Web Services vs. Streaming for real-time machine learning endpoints

Towards Data Science

Machine learning (ML) has been one of the fastest growing trends in the industry. Many companies spend time and money on marketing campaigns to show how they use ML for business automation and…

Synchronous vs. Asynchronous data sources

Level Up Coding

One common misunderstanding, especially when testing reactive streams, is treating synchronous data sources as asynchronous. In this post I will try to explore the differences between synchronous and…...

Is Real-Time Processing Worth It For Your Analytical Use Cases?

Towards Data Science

Real-time data pipelines provide a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today…

Batch vs. Online Learning: Which Approach Fits Your Machine Learning Needs? (Part 2)

Python in Plain English

This blog post continues the discussion from my previous blog on batch learning, where I explained how models undergo training on large datasets in one go. In this post, we’ll explore online learning ...

Batch Learning vs. Online Learning in Machine Learning

Level Up Coding

Table of Contents 1. Introduction 2. Batch Learning 3. Online Learning 4. Comparison: Batch vs. Online Learning 5. When to Use Batch or Online Learning 6. Interview Questions for Data Scientists and M...

The Hidden Peculiarities of Realtime Data Streaming Applications

Towards Data Science

A new developer going with the microservice mindset can do more harm than good in the data streaming world. Take a look at the odd concepts which might lead to such a vulnerable path.

Introduction to Streaming Frameworks

Towards Data Science

Introduction As data architectures are becoming more and more mature, streaming is no longer considered a luxury but a technology with a wide range of applications across different industries. Because...

Comparisons amongst various methods to handle streaming data

Analytics Vidhya

In recent years, in some shopping malls, libraries, airports or port environments, we can often see some robots turning around. They are well-known for guiding customers. Not only that, in fact, some…...

Batch and Online Learning

Analytics Vidhya

In this article, you will be able to know the difference between Batch and online learning in machine learning.. “Batch and Online Learning” is published by Zahra Elhamraoui in Analytics Vidhya.

Do Real-Time Data Pipelines Even Exist?

Towards Data Science

Sharing a fresh perspective on real-time data pipelines Photo by Djim Loic on Unsplash How often have you heard these terminologies — real-time data pipelines or real-time data processing or real-tim...